Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.5K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
6.5K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

215
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
215
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

884
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
884
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

805
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
805
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

269
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
269
What are Estimates?01:06

What are Estimates?

6.3K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
6.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The management of hepatorenal syndrome-acute kidney injury (HRS-AKI): A national survey of hepatology provider practices.

Hepatology communications·2026
Same author

Quantifying the role of communication in recruitment status outcomes for a clinical trial on genetic testing uptake.

Contemporary clinical trials·2026
Same author

Medications for Weight Loss and MASLD: A National Survey of Hepatology and Gastroenterology Provider Practices, Attitudes, and Knowledge Before Resmetirom.

Journal of clinical gastroenterology·2025
Same author

How do physiotherapists use Cauda Equina Syndrome safety netting techniques and what influences their practice?

Musculoskeletal science & practice·2025
Same author

Assessing the Relationship Between MR-Based Functional Dose Metrics and Post-Stereotactic Body Radiation Therapy Albumin-Bilirubin Change.

International journal of radiation oncology, biology, physics·2025
Same author

CRE25-043: Treatment of HER2-Positive Breast Cancer With Leptomeningeal Metastases With Intrathecal Trastuzumab.

Journal of the National Comprehensive Cancer Network : JNCCN·2025

Related Experiment Video

Updated: Oct 19, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K

An Approach to Peak Area Estimation.

John Rice1,2

  • 1Department of Mathematics, University of California at San Diego, LaJolla, CA 92093.

Journal of Research of the National Bureau of Standards (1977)
|September 27, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for estimating peak areas in nuclear spectroscopy, optimizing baseline smoothing for accurate measurements. The procedure ensures minimax optimality, providing reliable data analysis in complex spectral data.

Keywords:
linear modelsminimaxpeak areasmoothingspectroscopysplines

More Related Videos

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.7K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.1K

Related Experiment Videos

Last Updated: Oct 19, 2025

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K
Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.7K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.1K

Area of Science:

  • Nuclear spectroscopy
  • Data analysis
  • Statistical modeling

Background:

  • Accurate estimation of peak areas is crucial in nuclear spectroscopy.
  • Unknown baseline shapes complicate spectral data analysis.
  • Existing methods may lack robustness in the presence of complex baselines.

Purpose of the Study:

  • To develop and analyze a robust procedure for estimating peak areas in nuclear spectroscopy.
  • To address the challenge of unknown baseline shapes in spectral data.
  • To evaluate the statistical properties and optimality of the proposed estimation method.

Main Methods:

  • Analysis of a baseline smoothing procedure that prioritizes data consistency.
  • Derivation of expressions for systematic and random errors in peak area estimation.
  • Development of procedures for selecting an optimal smoothing parameter.
  • Utilizing simulations to illustrate and validate the proposed methods.

Main Results:

  • The proposed baseline smoothing procedure demonstrates minimax optimality.
  • Analytical expressions for both systematic and random errors were derived.
  • Effective procedures for choosing the smoothing parameter were developed and tested.
  • Simulations confirmed the practical applicability and accuracy of the method.

Conclusions:

  • The developed method provides a statistically sound and optimal approach for peak area estimation in nuclear spectroscopy.
  • The procedure effectively handles unknown baseline shapes, improving data reliability.
  • The findings offer a valuable tool for researchers in nuclear spectroscopy and related fields.